A delicately knitted network of processes, smart technology for traffic can help transport workers commuters, drivers and drivers improve efficiency and flow of traffic. Intelligent traffic systems can adjust the mechanisms that control traffic, like traffic lights as well as freeway onramp meters, and bus rapid transit lanes. They also employ advanced IoT hardware and routers that use cellular technology as well as cell networks. They can also help forecast changes in traffic demand and provide a variety of live information to road users.

An excellent example is the adaptive traffic signal system in Pittsburgh. Stephen Smith, a professor at Carnegie Mellon University’s (CMU) He installed his first traffic signals in the heavily congestion-ridden area of East Liberty in the city. He saw immediate results. Drivers traveled 25 percent further and spent 40 percent less idling.

The system collects data from sensors that monitor incoming traffic and adjusting their timings on the fly and also spotting pedestrians at intersections and giving them enough time to safely walk across the street. Sensors send their raw data to an centralized hub, which is then processed by artificial intelligence. It is then sent back to the intersections via 5G-enabled cell networks.

These advanced systems permit better and more accurate modeling of scenarios that reduce risks, which a human traffic manager cannot accomplish. All this in real-time. This is a major step towards Vision Zero, a goal of safe driving where humans and vehicles share the road without collisions.

technologytraffic.com/2022/04/28/turning-to-data-room-to-gain-a-competitive-advantage-in-ma